NVIDIA Jetson AGX Thor Developer Kit

SKU: MBS-ENTB-122
GTIN: 0658917504113
Category: Development Boards
Manufacturers:

FP4 (4-bit) and Transformer Engine
Up to 2,070 TFLOPS
Multi-instance GPU (MIG)
Operating range approx. 40 W to 130 W

€ 4.599,95

incl. 19% VAT , plus

Goods ordered. 10 expected on 30.06.2026.

The NVIDIA Jetson AGX Thor Developer Kit is a high-performance development platform specifically designed for Edge AI and robotics systems. It is intended for developers, researchers, and companies aiming to implement physical intelligence (“Physical AI”), such as humanoid robots, autonomous machines, industrial automation, or intelligent peripherals.

The kit includes the module (Jetson T5000) on a reference carrier board with multiple interfaces, allowing developers to get started immediately with sensor connections, data networks, storage, I/O, and AI acceleration.

NVIDIA positions the kit as the “robot brain” for future robotics systems, offering up to 2,070 TFLOPS (FP4 – Sparse) of AI computing power at 130 W operation.

Technical Data

AI Performance: Up to 2,070 TFLOPS (FP4 – Sparse)
GPU: NVIDIA Blackwell architecture, 2,560 CUDA cores, 96 5th-generation Tensor cores
CPU: 14-core ARM® Neoverse®‑V3AE 64-bit (1 MB L2 per core, 16 MB shared L3)
Memory: 128 GB LPDDR5X, 256-bit, ~273 GB/s bandwidth
Storage: 1 TB NVMe, M.2 Key M slot
Video Encode/Decode: Encode: up to 6× 4K@60 (H.265), Decode: up to 4× 8K@30 (H.265)
Camera Interfaces: Up to 20 cameras via HSB; up to 6 cameras via 16× MIPI CSI‑2; up to 32 cameras with Virtual Channels C‑PHY/D‑PHY
Networking / I/O: 4× 25 GbE QSFP Plus, 1× 5 GbE RJ‑45, HDMI, DisplayPort, USB‑A, USB‑C, CAN header, etc.
Power Consumption: Approx. 40 W – 130 W depending on mode
Mechanical (Kit): 243.19 mm × 112.40 mm × 56.88 mm (height including cooling)

Key Features & Innovations

FP4 (4-bit) and Transformer Engine: Supports native FP4 quantization and a Transformer Engine that dynamically switches between FP4 and FP8, ideal for large language and generative AI models at the edge.
Multi-Instance GPU (MIG): The GPU can be partitioned to run multiple isolated instances in parallel, providing deterministic performance for mixed workloads.
Sensor & Network I/O for Robotics: High-speed networking, multiple camera interfaces, automation modules – specifically designed for “Physical AI.”
High Energy Efficiency: Up to 3.5× more efficient than its predecessor, the Jetson AGX Orin.

Use Cases

Humanoid robots or robots with high autonomy
Logistic and industrial automation with heavy sensor and AI requirements
Edge AI systems with multiple cameras, LiDAR, and high data throughput
Generative AI at the edge, e.g., language or image models running locally on robots

Notes

Power consumption can reach ~130 W, which should be considered for mobile or battery-powered systems.
The kit is primarily intended for development and prototyping; for mass production, the module or a custom carrier may be required.
Due to its high performance, careful planning of cost, cooling, and system integration is necessary.

Scope of delivery

AGX Thor
Carrier Board
Power supply
Cooling system and cables
Software

Shipping weight:	2,50 kg
Item weight:	2,00 kg

Manufacturer Information Nvidia

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